Omar Sultan Al-Kadi
Orcid: 0000-0002-6346-0106
According to our database1,
Omar Sultan Al-Kadi
authored at least 34 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
IEEE Trans. Learn. Technol., 2024
Bidirectional brain image translation using transfer learning from generic pre-trained models.
Comput. Vis. Image Underst., 2024
2023
An enhanced Harris hawk optimizer based on extreme learning machine for feature selection.
Prog. Artif. Intell., March, 2023
A hierarchical intrusion detection system based on extreme learning machine and nature-inspired optimization.
Comput. Secur., 2023
2022
J. King Saud Univ. Comput. Inf. Sci., 2022
2021
Dataset, August, 2021
Dataset, February, 2021
Paired-unpaired Unsupervised Attention Guided GAN with transfer learning for bidirectional brain MR-CT synthesis.
Comput. Biol. Medicine, 2021
Biomedical computing in the Arab world: unlocking the potential of a growing research community.
Commun. ACM, 2021
2020
Spatio-Temporal Segmentation in 3-D Echocardiographic Sequences Using Fractional Brownian Motion.
IEEE Trans. Biomed. Eng., 2020
2019
Spatio-Temporal Segmentation in 3D Echocardiographic Sequences using Fractional Brownian Motion.
CoRR, 2019
Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors.
CoRR, 2019
CoRR, 2019
2018
Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
2017
A Gabor Filter Texture Analysis Approach for Histopathological Brain Tumor Subtype Discrimination.
CoRR, 2017
2016
Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization.
CoRR, 2016
Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization.
Medical Image Anal., 2015
Combined statistical and model based texture features for improved image classification.
CoRR, 2015
A multiresolution clinical decision support system based on fractal model design for classification of histological brain tumours.
Comput. Medical Imaging Graph., 2015
2014
Frontiers Comput. Sci., 2014
2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
2010
Texture measures combination for improved meningioma classification of histopathological images.
Pattern Recognit., 2010
Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images.
Comput. Medical Imaging Graph., 2010
2009
A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours.
Proceedings of the International Conference on Image Processing, 2009
2008
IEEE Trans. Biomed. Eng., 2008
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008